5G Positioning and Mapping with Diffuse Multipath
Artikel i vetenskaplig tidskrift, 2021

5G mmWave communication is useful for positioning due to the geometric connection between the propagation channel and the propagation environment. Channel estimation methods can exploit the resulting sparsity to estimate parameters (delay and angles) of each propagation path, which in turn can be exploited for positioning and mapping. When paths exhibit significant spread in either angle or delay, these methods break down or lead to significant biases. We present a novel tensor-based method for channel estimation that allows estimation of mmWave channel parameters in a non-parametric form. The method is able to accurately estimate the channel, even in the absence of a specular component. This in turn enables positioning and mapping using only diffuse multipath. Simulation results are provided to demonstrate the efficacy of the proposed approach.

localization

Channel estimation

Delays

subspace

5G mobile communication

beamspace ESPRIT

tensor decomposition

Estimation

Wireless communication

Massive MIMO

Transmission line matrix methods

Tensors

Författare

Fuxi Wen

Tsinghua University

Josef Kulmer

Technische Universität Graz

Klaus Witrisal

Technische Universität Graz

Henk Wymeersch

Chalmers, Elektroteknik, Kommunikations- och antennsystem, Kommunikationssystem

IEEE Transactions on Wireless Communications

1536-1276 (ISSN)

Vol. 20 2 1164-1174

MassLOC

Europeiska kommissionen (EU), 2017-04-18 -- 2019-04-13.

Flerdimensionell koherentkommunikation med mikrofrekvenskammar

Vetenskapsrådet (VR), 2020-12-01 -- 2026-11-30.

Styrkeområden

Informations- och kommunikationsteknik

Ämneskategorier

Telekommunikation

Kommunikationssystem

Signalbehandling

DOI

10.1109/TWC.2020.3031180

Mer information

Senast uppdaterat

2021-03-15